The interplay among psychopathology, personal resources, context‐related factors and real‐life functioning in schizophrenia: stability in relationships after 4 years and differences in network structure between recovered and non‐recovered patients

Galderisi, Silvana; Rucci, Paola; Mucci, Armida; Rossi, Alessandro; Rocca, Paola; Bertolino, Alessandro; Aguglia, Eugenio; Amore, Mario; Bellomo, Antonello; Bozzatello, Paola; Bucci, Paola; Carpiniello, Bernardo; Collantoni, Enrico; Cuomo, Alessandro; Dell’Osso, Liliana; Fabio, Fabio Di; Giannantonio, Massimo Di; Gibertoni, Dino; Giordano, Giulia; Marchesi, Carlo; Monteleone, Palmiero; Oldani, Lucio; Pompili, Maurizio; Roncone, Rita; Rossi, Rodolfo; Siracusano, Alberto; Vita, Antonio; Zeppegno, Patrizia; Maj, Mario; Catapano, Francesco; Piegari, Giuseppe; Aiello, Carmen; Brando, Francesco; Giuliani, Luigi; Pietrafesa, Daria; Papalino, Marco; Mercadante, G; Palo, Piergiuseppe Di; Barlati, Stefano; Deste, Giacomo; Valsecchi, Paolo; Pinna, Federica; Olivieri, Benedetta; Manca, D.; Signorelli, Maria Salvina; Fusar-Poli, Laura; Berardis, Domenico De; Fraticelli, Silvia; Corbo, M.; Pallanti, Stefano; Altamura, Mario; Carnevale, Raffaella; Malerba, Stefania; Calcagno, Pietro; Zampogna, Domenico; Corso, Alessandro; Giusti, Laura; Salza, Anna; Ussorio, Donatella; Talevi, Dalila; Socci, Valentina; Pacitti, Francesca; Bartolomeis, Andrea de; Gramaglia, Carla; Gambaro, E.; Gattoni, E.; Favaro, Angela; Tenconi, Elena; Meneguzzo, Paolo; Tonna, Matteo; Ossola, Paolo; Gerra, Maria Lidia; Carmassi, Claudia; Cremone, Ivan Mirko; Carpita, Barbara; Girardi, Nicoletta; Frascarelli, Marianna; Buzzanca, Antonio; Brugnoli, Roberto; Comparelli, Anna; Corigliano, Valentina; Lorenzo, Giorgio Di; Niolu, Cinzia; Ribolsi, Michele; Corrivetti, Giulio; Cascino, Giammarco; Buono, G. Del; Bolognesi, Simone; Fagiolini, Andrea; Goracci, Arianna; Bellino, Silvio; Montemagni, Cristiana; Brasso, Claudio

doi:10.1002/wps.20700

Cited by 105 publications

(121 citation statements)

References 36 publications

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“…Psychiatric follow-up visits were scheduled monthly on about half of the patients (48.5%), whereas 17.4% of them needed a tighter control (Table 1 ). Illness-related factors, functional capacity, and real-life functioning mean scores are reported in detail in a previous paper 31 .…”

Section: Resultsmentioning

confidence: 99%

“…These contrasting results may be owing to differences in the samples and in the types of informants. First, our patients were community-dwelling clinically stable patients, with a good service engagement and a moderate degree of functional impairment 31 . Moreover, about 2/3 of them underwent scheduled follow-up visits at least once every month for 4 years, which suggests a stable course of the illness and confirms a high service engagement that might have contributed to our patients’ good awareness about their own real-life functioning and to the high concordance with informants’ ratings.…”

Section: Discussionmentioning

confidence: 99%

“…Good to excellent agreement was observed for BNSS (ICC = 0.74–0.97), PANSS (ICC = 0.60–0.98, percentage agreement = 64–100%), CDSS (ICC = 0.76–0.98), and MCCB (ICC = 0.98). Further details can be found in Galderisi et al 31 .…”

Section: Methodsmentioning

confidence: 99%

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Accuracy of self-assessment of real-life functioning in schizophrenia

et al. 2021

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A consensus has not yet been reached regarding the accuracy of people with schizophrenia in self-reporting their real-life functioning. In a large (n = 618) cohort of stable, community-dwelling schizophrenia patients we sought to: (1) examine the concordance of patients’ reports of their real-life functioning with the reports of their key caregiver; (2) identify which patient characteristics are associated to the differences between patients and informants. Patient-caregiver concordance of the ratings in three Specific Level of Functioning Scale (SLOF) domains (interpersonal relationships, everyday life skills, work skills) was evaluated with matched-pair t tests, the Lin’s concordance correlation, Somers’ D, and Bland–Altman plots with limits of agreement (LOA). Predictors of the patient-caregiver differences in SLOF ratings were assessed with a linear regression with multivariable fractional polynomials. Patients’ self-evaluation of functioning was higher than caregivers’ in all the evaluated domains of the SLOF and 17.6% of the patients exceeded the LOA, thus providing a self-evaluation discordant from their key caregivers. The strongest predictors of patient-caregiver discrepancies were caregivers’ ratings in each SLOF domain. In clinically stable outpatients with a moderate degree of functional impairment, self-evaluation with the SLOF scale can become a useful, informative and reliable clinical tool to design a tailored rehabilitation program.

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Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Accuracy of self-assessment of real-life functioning in schizophrenia

et al. 2021

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“…Development of the NA approach over the past decade has provided a theoretical framework that was adopted to identify the central symptoms of different psychiatric disorders, such as bipolar disorder [15], depression [16], obsessive compulsive disorder [17] and schizophrenia [18]. More recently, researchers in the field of eating disorders have applied NA to examine the symptoms of anorexia nervosa [19][20][21][22] and bulimia nervosa [23][24][25].…”

Section: Introductionmentioning

confidence: 99%

Metacognition and emotion regulation as treatment targets in binge eating disorder: a network analysis study

et al. 2021

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Background This study aims to examine the underlying associations between eating, affective and metacognitive symptoms in patients with binge eating disorder (BED) through network analysis (NA) in order to identify key variables that may be considered the target for psychotherapeutic interventions. Methods A total of 155 patients with BED completed measures of eating psychopathology, affective symptoms, emotion regulation and metacognition. A cross-sectional network was inferred by means of Gaussian Markov random field estimation using graphical LASSO and the extended Bayesian information criterion (EBIC-LASSO), and central symptoms of BED were identified by means of the strength centrality index. Results Impaired self-monitoring metacognition and difficulties in impulse control emerged as the symptoms with the highest centrality. Conversely, eating and affective features were less central. The centrality stability coefficient of strength was above the recommended cut-off, thus indicating the stability of the network. Conclusions According to the present NA findings, impaired self-monitoring metacognition and difficulties in impulse control are the central nodes in the psychopathological network of BED whereas eating symptoms appear marginal. If further studies with larger samples replicate these results, metacognition and impulse control could represent new targets of psychotherapeutic interventions in the treatment of BED. In light of this, metacognitive interpersonal therapy could be a promising aid in clinical practice to develop an effective treatment for BED.

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“…The development of network approach over the past decade has provided a theoretical framework that was adopted to identify the central symptoms of different psychiatric disorders such as bipolar disorder [15], depression [16], obsessive compulsive disorder [17], or schizophrenia [18]. More recently, researchers in the eld of eating disorders (EDs) have applied NA to examine the symptoms of Anorexia Nervosa [19][20][21][22] and Bulimia Nervosa [23][24][25].…”

Section: Introductionmentioning

confidence: 99%

Metacognition and Emotional Regulation as Treatment Targets in Binge Eating Disorder: A Network Analysis Study

Aloi

Rania

Carbone

et al. 2020

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Background: This study aims to examine the underlying associations between eating, affective and metacognitive symptoms in patients with binge eating disorder (BED) through network analysis (NA), in order to identify key variables that may be considered the target for psychotherapeutic interventions. Methods: One hundred and fifty-five patients with BED completed measures of eating psychopathology, affective symptoms, emotion regulation and metacognition. A cross-sectional network was inferred by means of Gaussian Markov random field estimation using graphical LASSO and extended Bayesian information criterion (EBIC-LASSO), and central symptoms of BED were identified by means of the strength centrality index. Results: Impaired self-monitoring metacognition and difficulties on impulse control emerged as the symptoms with the highest centrality. Conversely, eating and affective features were less central. The centrality stability coefficient of strength was above the recommended cut-off, thus indicating the stability of the network. Conclusions: According to present NA findings, impaired self-monitoring metacognition and difficulties on impulse control are the central nodes in the psychopathological network of BED while eating symptoms appear marginal. If further studies with larger samples replicate these results, metacognition and impulse control could represent new targets of psychotherapeutic interventions in the treatment of BED. In light of this, Metacognitive Interpersonal Therapy (MIT) could be a promising aid in clinical practice to develop an effective treatment for BED.

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The interplay among psychopathology, personal resources, context‐related factors and real‐life functioning in schizophrenia: stability in relationships after 4 years and differences in network structure between recovered and non‐recovered patients

Cited by 105 publications

References 36 publications

Accuracy of self-assessment of real-life functioning in schizophrenia

Accuracy of self-assessment of real-life functioning in schizophrenia

Metacognition and emotion regulation as treatment targets in binge eating disorder: a network analysis study

Metacognition and Emotional Regulation as Treatment Targets in Binge Eating Disorder: A Network Analysis Study

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